premise string | hypothesis string | label int64 |
|---|---|---|
| | Recipe | Clinical | | |
| --- | --- | --- | --- | --- |
| Factor | weight | p-value | weight | p-value |
| ExplanationLength(V1) | -0.0116 | 0.00367 | -0.0171 | 0.000127 |
| NumberofOutputTerms(V1) | -0.0161 | 0.0629 | 0.00685 | 0.48 |
| NumberofCognitiveChunks(V2) | 0.0221 | 0.0377 | 0.0427 | 0.00044 | | | ImplicitCognitiveChunks(V2) | 0.0147 | 0.625 | 0.0251 | 0.464 |
| --- | --- | --- | --- | --- |
| NumberofVariableRepetitions(V3) | -0.017 | 0.104 | -0.0225 | 0.0506 | | 1 |
| | Recipe | Clinical | | |
| --- | --- | --- | --- | --- |
| Factor | weight | p-value | weight | p-value |
| ExplanationLength(V1) | -0.0116 | 0.00367 | -0.0171 | 0.000127 |
| NumberofOutputTerms(V1) | -0.0161 | 0.0629 | 0.00685 | 0.48 |
| NumberofCognitiveChunks(V2) | 0.0221 | 0.0377 | 0.0427 | 0.00044 | | | | Original | V1 | V1Fine | V2 | V2Fine |
| --- | --- | --- | --- | --- | --- |
| Chores | 20.00 | 5.56 | 25.0 | N/A | N/A |
| Driving | 96.62 | 18.6 | 100.0 | 0.0 | 100.0 |
| Cooking | 60.53 | 0.0 | 25.0 | N/A | N/A |
| Exercising | 73.00 | 0.0 | 50.0 | N/A | N/A |
| Reading | 53.36 | 77.78 | 75.0 | N/A | N/A |
| Presentation | 87.06 | N/A | N/A | N/A | N/A |
| Dogs | 66.09 | N/A | N/A | N/A | N/A |
| Resting | 45.45 | N/A | N/A | N/A | N/A |
| Eating | 83.12 | 11.48 | 76.92 | 30.68 | 100.0 |
| Working | 95.19 | 31.59 | 98.32 | 39.14 | 94.44 |
| Chatting | 17.39 | 0.0 | 86.67 | 0.0 | 96.72 |
| TV | 81.75 | 0.0 | 33.33 | N/A | N/A |
| Meeting | 81.47 | 0.0 | 100.0 | 0.0 | 60.0 |
| Cleaning | 46.09 | 0.0 | 0.0 | N/A | N/A |
| Socializing | 45.08 | 0.0 | 0.0 | 0.0 | 83.33 |
| Shopping | 64.75 | 40.0 | 50.0 | N/A | N/A |
| Biking | 81.88 | N/A | N/A | N/A | N/A |
| Walking | N/A | 0.0 | 57.14 | N/A | N/A |
| Family | 90.15 | N/A | N/A | N/A | N/A |
| Hygiene | 62.60 | 13.33 | 0.0 | 27.78 | 81.82 |
| ClassAcc | 65.87 | 10.56 | 51.83 | 13.94 | 88.05 |
| TotalAcc | 83.07 | 23.58 | 86.76 | 27.06 | 91.23 | | 0 |
| | Recipe | Clinical | | |
| --- | --- | --- | --- | --- |
| Factor | weight | p-value | weight | p-value | | | ExplanationLength(V1) | -0.0116 | 0.00367 | -0.0171 | 0.000127 |
| --- | --- | --- | --- | --- |
| NumberofOutputTerms(V1) | -0.0161 | 0.0629 | 0.00685 | 0.48 |
| NumberofCognitiveChunks(V2) | 0.0221 | 0.0377 | 0.0427 | 0.00044 |
| ImplicitCognitiveChunks(V2) | 0.0147 | 0.625 | 0.0251 | 0.464 |
| NumberofVariableRepetitions(V3) | -0.017 | 0.104 | -0.0225 | 0.0506 | | 1 |
| | Recipe | Clinical | | |
| --- | --- | --- | --- | --- |
| Factor | weight | p-value | weight | p-value | | | Eating | 83.12 | 11.48 | 76.92 | 30.68 | 100.0 |
| --- | --- | --- | --- | --- | --- |
| Working | 95.19 | 31.59 | 98.32 | 39.14 | 94.44 |
| Chatting | 17.39 | 0.0 | 86.67 | 0.0 | 96.72 |
| TV | 81.75 | 0.0 | 33.33 | N/A | N/A |
| Meeting | 81.47 | 0.0 | 100.0 | 0.0 | 60.0 |
| Cleaning | 46.09 | 0.0 | 0.0 | N/A | N/A |
| Socializing | 45.08 | 0.0 | 0.0 | 0.0 | 83.33 |
| Shopping | 64.75 | 40.0 | 50.0 | N/A | N/A |
| Biking | 81.88 | N/A | N/A | N/A | N/A |
| Walking | N/A | 0.0 | 57.14 | N/A | N/A |
| Family | 90.15 | N/A | N/A | N/A | N/A |
| Hygiene | 62.60 | 13.33 | 0.0 | 27.78 | 81.82 |
| ClassAcc | 65.87 | 10.56 | 51.83 | 13.94 | 88.05 |
| TotalAcc | 83.07 | 23.58 | 86.76 | 27.06 | 91.23 | | 0 |
| | L1dline | DRAMpage | VMpage | VMsuperpage |
| --- | --- | --- | --- | --- |
| Pseudorandom | 0.42 | 0.53 | 0.44 | 0.42 |
| BFS | 0.36 | 0.43 | 0.26 | 0.07 |
| DFS | 0.33 | 0.23 | 0.19 | 0.11 | | | VEB | 0.24 | 0.15 | 0.05 | 0.02 |
| --- | --- | --- | --- | --- |
| 64 | 0.25 | 0.19 | 0.10 | 0.03 |
| 1K | 0.31 | 0.19 | 0.07 | 0.02 |
| 4K | 0.32 | 0.25 | 0.07 | 0.02 |
| 2M | 0.33 | 0.34 | 0.14 | 0.02 |
| 64+1K+4K+2M | 0.25 | 0.17 | 0.06 | 0.02 | | 1 |
| | L1dline | DRAMpage | VMpage | VMsuperpage |
| --- | --- | --- | --- | --- |
| Pseudorandom | 0.42 | 0.53 | 0.44 | 0.42 |
| BFS | 0.36 | 0.43 | 0.26 | 0.07 |
| DFS | 0.33 | 0.23 | 0.19 | 0.11 | | | | ASD | PASCAL-S | ECSSD | DUT-OMRON | THUR15K |
| --- | --- | --- | --- | --- | --- |
| Ours | 0.924 | 0.771 | 0.867 | 0.719 | 0.731 |
| MCDL | 0.928 | 0.737 | 0.837 | 0.703 | 0.686 |
| MDF | 0.931 | 0.759 | 0.831 | 0.694 | 0.670 |
| LEGS | 0.905 | 0.749 | 0.831 | 0.669 | 0.664 |
| DRFI | 0.919 | 0.692 | 0.787 | 0.665 | 0.670 |
| DSR | 0.886 | 0.645 | 0.737 | 0.626 | 0.611 |
| GMR | 0.909 | 0.664 | 0.740 | 0.610 | 0.597 |
| HDCT | 0.884 | 0.604 | 0.705 | 0.609 | 0.602 |
| HS | 0.902 | 0.637 | 0.731 | 0.616 | 0.585 | | 0 |
| | L1dline | DRAMpage | VMpage | VMsuperpage |
| --- | --- | --- | --- | --- |
| Pseudorandom | 0.42 | 0.53 | 0.44 | 0.42 | | | BFS | 0.36 | 0.43 | 0.26 | 0.07 |
| --- | --- | --- | --- | --- |
| DFS | 0.33 | 0.23 | 0.19 | 0.11 |
| VEB | 0.24 | 0.15 | 0.05 | 0.02 |
| 64 | 0.25 | 0.19 | 0.10 | 0.03 |
| 1K | 0.31 | 0.19 | 0.07 | 0.02 |
| 4K | 0.32 | 0.25 | 0.07 | 0.02 |
| 2M | 0.33 | 0.34 | 0.14 | 0.02 |
| 64+1K+4K+2M | 0.25 | 0.17 | 0.06 | 0.02 | | 1 |
| | L1dline | DRAMpage | VMpage | VMsuperpage |
| --- | --- | --- | --- | --- |
| Pseudorandom | 0.42 | 0.53 | 0.44 | 0.42 | | | DSR | 0.886 | 0.645 | 0.737 | 0.626 | 0.611 |
| --- | --- | --- | --- | --- | --- |
| GMR | 0.909 | 0.664 | 0.740 | 0.610 | 0.597 |
| HDCT | 0.884 | 0.604 | 0.705 | 0.609 | 0.602 |
| HS | 0.902 | 0.637 | 0.731 | 0.616 | 0.585 | | 0 |
| Datasets | fastgreedy | Louvain |
| --- | --- | --- |
| Barabasi | 284.411 | 243.816 |
| Facebook | 297.251 | 361.060 | | | Nexus5 | 340.795 | 431.477 |
| --- | --- | --- |
| Nexus15 | 503.183 | 495.810 | | 1 |
| Datasets | fastgreedy | Louvain |
| --- | --- | --- |
| Barabasi | 284.411 | 243.816 |
| Facebook | 297.251 | 361.060 | | | Dataset | Available | people | images |
| --- | --- | --- | --- |
| IJB-A | public | 500 | 5712 |
| LFW | public | 5K | 13K |
| YFD | public | 1595 | 3425videos |
| CelebFaces | public | 10K | 202K |
| CASIA-WebFace | public | 10K | 500K |
| Ours | public | 100K | about10M |
| Facebook | private | 4K | 4400K |
| Google | private | 8M | 100-200M | | 0 |
| Datasets | fastgreedy | Louvain |
| --- | --- | --- |
| Barabasi | 284.411 | 243.816 |
| Facebook | 297.251 | 361.060 | | | Nexus5 | 340.795 | 431.477 |
| --- | --- | --- |
| Nexus15 | 503.183 | 495.810 | | 1 |
| Datasets | fastgreedy | Louvain |
| --- | --- | --- |
| Barabasi | 284.411 | 243.816 |
| Facebook | 297.251 | 361.060 | | | YFD | public | 1595 | 3425videos |
| --- | --- | --- | --- |
| CelebFaces | public | 10K | 202K |
| CASIA-WebFace | public | 10K | 500K |
| Ours | public | 100K | about10M |
| Facebook | private | 4K | 4400K |
| Google | private | 8M | 100-200M | | 0 |
| n | ρ |
| --- | --- |
| 10,000<br>30,000 | 0<br>0.3<br>0<br>0.3 |
| 10,000<br>30,000 | 0<br>0.3<br>0<br>0.3 | | | 10,000<br>30,000 | 0<br>0.3<br>0<br>0.3 |
| --- | --- |
| 10,000<br>30,000 | 0<br>0.3<br>0<br>0.3 | | 1 |
| n | ρ |
| --- | --- |
| 10,000<br>30,000 | 0<br>0.3<br>0<br>0.3 |
| 10,000<br>30,000 | 0<br>0.3<br>0<br>0.3 | | | ρ |
| --- |
| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |
| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |
| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |
| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |
| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 | | 0 |
| n | ρ |
| --- | --- |
| 10,000<br>30,000 | 0<br>0.3<br>0<br>0.3 |
| 10,000<br>30,000 | 0<br>0.3<br>0<br>0.3 | | | 10,000<br>30,000 | 0<br>0.3<br>0<br>0.3 |
| --- | --- |
| 10,000<br>30,000 | 0<br>0.3<br>0<br>0.3 | | 1 |
| n | ρ |
| --- | --- |
| 10,000<br>30,000 | 0<br>0.3<br>0<br>0.3 |
| 10,000<br>30,000 | 0<br>0.3<br>0<br>0.3 | | | 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |
| --- |
| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 | | 0 |
| PASCALVOC | COCO |
| --- | --- |
| aeroplane | airplane |
| bike | bicycle |
| bird | bird |
| boat | boat |
| bottle | bottle |
| bus | bus |
| car | car |
| cat | cat |
| chair | chair |
| cow | cow |
| diningtable | diningtable |
| dog | dog | | | horse | horse |
| --- | --- |
| motorbike | motorcycle |
| person | person |
| pottedplant | pottedplant |
| sheep | sheep |
| sofa | couch |
| train | train |
| tv | tv | | 1 |
| PASCALVOC | COCO |
| --- | --- |
| aeroplane | airplane |
| bike | bicycle |
| bird | bird |
| boat | boat |
| bottle | bottle |
| bus | bus |
| car | car |
| cat | cat |
| chair | chair |
| cow | cow |
| diningtable | diningtable |
| dog | dog | | | PASCALVOC<br>(20classes) | ClosestILSVRC-DETclass<br>(200classestotal) | Averageobjectscale | RCNNAP |
| --- | --- | --- | --- |
| PASCAL | ILSVRC | PASCAL | ILSVRC |
| aeroplane | airplane | 0.28 | 0.47 |
| bicycle | bicycle | 0.29 | 0.46 |
| bird | bird | | |
| boat | watercraft | | |
| bottle | winebottle(orwaterbottle) | | |
| bus | bus | | |
| car | car | | |
| cat | domesticcat | | |
| chair | chair | | |
| cow | cattle | | |
| diningtable | table | | |
| dog | dog | | |
| horse | horse | | |
| motorbike | motorcyle | | |
| person | person | | |
| pottedplant | flowerpot | | |
| sheep | sheep | | |
| sofa | sofa | | |
| train | train | | |
| tv/monitor | tvormonitor | | | | 0 |
| PASCALVOC | COCO |
| --- | --- |
| aeroplane | airplane |
| bike | bicycle |
| bird | bird |
| boat | boat |
| bottle | bottle |
| bus | bus |
| car | car |
| cat | cat |
| chair | chair |
| cow | cow |
| diningtable | diningtable |
| dog | dog |
| horse | horse |
| motorbike | motorcycle |
| person | person |
| pottedplant | pottedplant |
| sheep | sheep |
| sofa | couch | | | train | train |
| --- | --- |
| tv | tv | | 1 |
| PASCALVOC | COCO |
| --- | --- |
| aeroplane | airplane |
| bike | bicycle |
| bird | bird |
| boat | boat |
| bottle | bottle |
| bus | bus |
| car | car |
| cat | cat |
| chair | chair |
| cow | cow |
| diningtable | diningtable |
| dog | dog |
| horse | horse |
| motorbike | motorcycle |
| person | person |
| pottedplant | pottedplant |
| sheep | sheep |
| sofa | couch | | | sheep | sheep |
| --- | --- |
| sofa | sofa |
| train | train |
| tv/monitor | tvormonitor | | 0 |
| Model | Pre | Rec | F1 |
| --- | --- | --- | --- |
| semi+distant | 0.73 | 0.64 | 0.682 | | | no-distant | 0.70 | 0.65 | 0.674 |
| --- | --- | --- | --- |
| one-step(CRF) | 0.67 | 0.64 | 0.655 |
| rule | 0.80 | 0.30 | 0.436 | | 1 |
| Model | Pre | Rec | F1 |
| --- | --- | --- | --- |
| semi+distant | 0.73 | 0.64 | 0.682 | | | Model | Pre | Rec | F1 |
| --- | --- | --- | --- |
| semi+distant | 0.73 | 0.64 | 0.682 |
| no-distant | 0.70 | 0.65 | 0.674 |
| one-step(CRF) | 0.67 | 0.64 | 0.655 |
| rule | 0.80 | 0.30 | 0.436 | | 0 |
| Model | Pre | Rec | F1 |
| --- | --- | --- | --- |
| semi+distant | 0.73 | 0.64 | 0.682 | | | no-distant | 0.70 | 0.65 | 0.674 |
| --- | --- | --- | --- |
| one-step(CRF) | 0.67 | 0.64 | 0.655 |
| rule | 0.80 | 0.30 | 0.436 | | 1 |
| Model | Pre | Rec | F1 |
| --- | --- | --- | --- |
| semi+distant | 0.73 | 0.64 | 0.682 | | | no-distant | 0.70 | 0.65 | 0.674 |
| --- | --- | --- | --- |
| one-step(CRF) | 0.67 | 0.64 | 0.655 |
| rule | 0.80 | 0.30 | 0.436 | | 0 |
| Dataset | Method | Adaptive | MacroF1 | MicroF1 | Acc. |
| --- | --- | --- | --- | --- | --- |
| BBN | FIGER<br>HYENA | NA | 67.28<br>51.38 | 60.70<br>52.85 | 46.92<br>45.01 |
| WSABIE | Y | 71.28 | 72.08 | 66.22 | |
| HLE | Y<br>N | 70.84<br>68.86 | 71.61<br>70.00 | 65.74<br>63.32 | |
| ProtoLE | Y<br>N | 72.67<br>75.78 | 73.54<br>76.50 | 67.58<br>70.43 | | | | Proto-HLE | Y<br>N | 71.97<br>74.54 | 72.89<br>74.38 | 67.05<br>69.46 | |
| --- | --- | --- | --- | --- | --- |
| OntoNotes | FIGER<br>HYENA | NA | 58.77<br>47.63 | 52.37<br>43.97 | 38.01<br>26.56 |
| WSABIE | Y | 62.03 | 55.83 | 43.61 | |
| HLE | Y<br>N | 61.54<br>59.52 | 49.16<br>54.01 | 43.25<br>41.60 | |
| ProtoLE | Y<br>N | 60.90<br>65.91 | 54.68<br>59.08 | 42.82<br>46.94 | |
| Proto-HLE | Y<br>N | 62.71<br>68.23 | 56.64<br>61.27 | 44.81<br>49.30 | |
| Wiki | FIGER<br>HYENA | NA | 68.28<br>45.51 | 64.71<br>43.80 | 47.37<br>30.67 |
| WSABIE | Y | 67.97 | 64.49 | 48.28 | |
| HLE | Y<br>N | 67.09<br>65.29 | 65.65<br>62.53 | 47.01<br>45.19 | |
| ProtoLE | Y<br>N | 66.96<br>68.06 | 65.78<br>66.53 | 49.18<br>53.54 | |
| Proto-HLE | Y<br>N | 67.85<br>66.61 | 65.74<br>65.29 | 50.27<br>50.45 | | | 1 |
| Dataset | Method | Adaptive | MacroF1 | MicroF1 | Acc. |
| --- | --- | --- | --- | --- | --- |
| BBN | FIGER<br>HYENA | NA | 67.28<br>51.38 | 60.70<br>52.85 | 46.92<br>45.01 |
| WSABIE | Y | 71.28 | 72.08 | 66.22 | |
| HLE | Y<br>N | 70.84<br>68.86 | 71.61<br>70.00 | 65.74<br>63.32 | |
| ProtoLE | Y<br>N | 72.67<br>75.78 | 73.54<br>76.50 | 67.58<br>70.43 | | | | Method | Adapt | BBN | | |
| --- | --- | --- | --- | --- |
| Ma-F1 | Mi-F1 | Acc. | | |
| FIGER<br>HYENA<br>WSABIE<br>HLE<br>ProtoLE<br>Proto-HLE | NA<br>NA<br>NA<br>Y<br>N<br>Y<br>N<br>Y<br>N | 67.28<br>51.38<br>71.28<br>70.84<br>68.86<br>72.67<br>75.78<br>71.97<br>74.54 | 60.70<br>52.85<br>72.08<br>71.61<br>70.00<br>73.54<br>76.50<br>72.89<br>74.38 | 46.92<br>45.01<br>66.22<br>65.74<br>63.32<br>67.58<br>70.43<br>67.05<br>69.46 |
| | | OntoNotes | | |
| FIGER<br>HYENA<br>WSABIE<br>HLE<br>ProtoLE<br>Proto-HLE | NA<br>NA<br>NA<br>Y<br>N<br>Y<br>N<br>Y<br>N | 58.77<br>47.65<br>62.03<br>61.54<br>59.52<br>60.90<br>65.91<br>62.71<br>68.23 | 52.37<br>43.97<br>55.83<br>49.16<br>54.01<br>54.68<br>59.08<br>56.64<br>61.27 | 38.01<br>26.56<br>43.61<br>43.25<br>41.60<br>42.82<br>46.94<br>44.81<br>49.30 |
| | | Wiki | | |
| FIGER<br>HYENA<br>WSABIE<br>HLE<br>ProtoLE<br>Proto-HLE | NA<br>NA<br>NA<br>Y<br>N<br>Y<br>N<br>Y<br>N | 68.28<br>45.51<br>67.97<br>67.09<br>65.29<br>66.96<br>68.06<br>67.85<br>66.61 | 64.71<br>43.80<br>64.49<br>65.65<br>62.53<br>65.78<br>66.53<br>65.74<br>65.29 | 47.37<br>30.67<br>48.28<br>47.01<br>45.19<br>49.18<br>53.54<br>50.27<br>50.45 | | 0 |
| Dataset | Method | Adaptive | MacroF1 | MicroF1 | Acc. |
| --- | --- | --- | --- | --- | --- |
| BBN | FIGER<br>HYENA | NA | 67.28<br>51.38 | 60.70<br>52.85 | 46.92<br>45.01 | | | WSABIE | Y | 71.28 | 72.08 | 66.22 | |
| --- | --- | --- | --- | --- | --- |
| HLE | Y<br>N | 70.84<br>68.86 | 71.61<br>70.00 | 65.74<br>63.32 | |
| ProtoLE | Y<br>N | 72.67<br>75.78 | 73.54<br>76.50 | 67.58<br>70.43 | |
| Proto-HLE | Y<br>N | 71.97<br>74.54 | 72.89<br>74.38 | 67.05<br>69.46 | |
| OntoNotes | FIGER<br>HYENA | NA | 58.77<br>47.63 | 52.37<br>43.97 | 38.01<br>26.56 |
| WSABIE | Y | 62.03 | 55.83 | 43.61 | |
| HLE | Y<br>N | 61.54<br>59.52 | 49.16<br>54.01 | 43.25<br>41.60 | |
| ProtoLE | Y<br>N | 60.90<br>65.91 | 54.68<br>59.08 | 42.82<br>46.94 | |
| Proto-HLE | Y<br>N | 62.71<br>68.23 | 56.64<br>61.27 | 44.81<br>49.30 | |
| Wiki | FIGER<br>HYENA | NA | 68.28<br>45.51 | 64.71<br>43.80 | 47.37<br>30.67 |
| WSABIE | Y | 67.97 | 64.49 | 48.28 | |
| HLE | Y<br>N | 67.09<br>65.29 | 65.65<br>62.53 | 47.01<br>45.19 | |
| ProtoLE | Y<br>N | 66.96<br>68.06 | 65.78<br>66.53 | 49.18<br>53.54 | |
| Proto-HLE | Y<br>N | 67.85<br>66.61 | 65.74<br>65.29 | 50.27<br>50.45 | | | 1 |
| Dataset | Method | Adaptive | MacroF1 | MicroF1 | Acc. |
| --- | --- | --- | --- | --- | --- |
| BBN | FIGER<br>HYENA | NA | 67.28<br>51.38 | 60.70<br>52.85 | 46.92<br>45.01 | | | | | OntoNotes | | |
| --- | --- | --- | --- | --- |
| FIGER<br>HYENA<br>WSABIE<br>HLE<br>ProtoLE<br>Proto-HLE | NA<br>NA<br>NA<br>Y<br>N<br>Y<br>N<br>Y<br>N | 58.77<br>47.65<br>62.03<br>61.54<br>59.52<br>60.90<br>65.91<br>62.71<br>68.23 | 52.37<br>43.97<br>55.83<br>49.16<br>54.01<br>54.68<br>59.08<br>56.64<br>61.27 | 38.01<br>26.56<br>43.61<br>43.25<br>41.60<br>42.82<br>46.94<br>44.81<br>49.30 |
| | | Wiki | | |
| FIGER<br>HYENA<br>WSABIE<br>HLE<br>ProtoLE<br>Proto-HLE | NA<br>NA<br>NA<br>Y<br>N<br>Y<br>N<br>Y<br>N | 68.28<br>45.51<br>67.97<br>67.09<br>65.29<br>66.96<br>68.06<br>67.85<br>66.61 | 64.71<br>43.80<br>64.49<br>65.65<br>62.53<br>65.78<br>66.53<br>65.74<br>65.29 | 47.37<br>30.67<br>48.28<br>47.01<br>45.19<br>49.18<br>53.54<br>50.27<br>50.45 | | 0 |
| N | fnorm1 | f | ftwo | fone |
| --- | --- | --- | --- | --- |
| 3 | 0.8275 | 0.8199 | 0.5808 | 0.4444 |
| 4 | 0.8235 | 0.8139 | 0.5541 | 0.4219 | | | 5 | 0.8214 | 0.8104 | 0.5391 | 0.4096 |
| --- | --- | --- | --- | --- |
| 10 | 0.8175 | 0.8038 | 0.5116 | 0.3874 |
| 15 | 0.8163 | 0.8017 | 0.5030 | 0.3806 |
| 20 | 0.8157 | 0.8007 | 0.4988 | 0.3774 | | 1 |
| N | fnorm1 | f | ftwo | fone |
| --- | --- | --- | --- | --- |
| 3 | 0.8275 | 0.8199 | 0.5808 | 0.4444 |
| 4 | 0.8235 | 0.8139 | 0.5541 | 0.4219 | | | cut | | | | |
| --- | --- | --- | --- | --- |
| P | R | F1 | P | R |
| 0.996 | 0.979 | 0.972 | 0.802 | 0.709 |
| 0.982 | 0.968 | 0.975 | 0.733 | 0.718 |
| 0.942 | 0.945 | 0.944 | 0.595 | 0.766 |
| 0.975 | 0.816 | 0.945 | 0.768 | 0.578 |
| 0.972 | 0.976 | 0.974 | 0.869 | 0.719 |
| 0.978 | 0.968 | 0.973 | 0.826 | 0.731 |
| 0.971 | 0.988 | 0.980 | 0.813 | 0.806 |
| 0.981 | 0.997 | 0.989 | 0.838 | 0.845 | | 0 |
| N | fnorm1 | f | ftwo | fone |
| --- | --- | --- | --- | --- |
| 3 | 0.8275 | 0.8199 | 0.5808 | 0.4444 |
| 4 | 0.8235 | 0.8139 | 0.5541 | 0.4219 |
| 5 | 0.8214 | 0.8104 | 0.5391 | 0.4096 | | | 10 | 0.8175 | 0.8038 | 0.5116 | 0.3874 |
| --- | --- | --- | --- | --- |
| 15 | 0.8163 | 0.8017 | 0.5030 | 0.3806 |
| 20 | 0.8157 | 0.8007 | 0.4988 | 0.3774 | | 1 |
| N | fnorm1 | f | ftwo | fone |
| --- | --- | --- | --- | --- |
| 3 | 0.8275 | 0.8199 | 0.5808 | 0.4444 |
| 4 | 0.8235 | 0.8139 | 0.5541 | 0.4219 |
| 5 | 0.8214 | 0.8104 | 0.5391 | 0.4096 | | | 0.971 | 0.988 | 0.980 | 0.813 | 0.806 |
| --- | --- | --- | --- | --- |
| 0.981 | 0.997 | 0.989 | 0.838 | 0.845 | | 0 |
| ModelSearchR@10AnnotationR@10 |
| --- |
| Socheretal.28.629.0 | | | Karpathy42.544.0 |
| --- |
| Text+wordvec49.056.7 |
| SpectrogramCNN17.924.3 | | 1 |
| ModelSearchR@10AnnotationR@10 |
| --- |
| Socheretal.28.629.0 | | | Name | Description |
| --- | --- |
| NRM-glo | Theneuralmodelbyusingthe<br>lasthiddenstatehasthecon-T<br>textinput. |
| NRM-loc | Theneuralmodelbyusingthe<br>weightedsumofhiddenstates<br>asthecontextinput |
| NRM-hyb | Theneuralmodelbyusingthe<br>hybridoftheencodersofNR-<br>gloloc<br>MandNRM |
| IR-l2r | IR-basedmethodwithfourteen<br>differentfeaturesandlearned<br>bylearningtorank |
| SMT | Statisticalmachinetranslation<br>modelbyusingtheMoseswith<br>defaultsettings. | | 0 |
| ModelSearchR@10AnnotationR@10 |
| --- |
| Socheretal.28.629.0 | | | Karpathy42.544.0 |
| --- |
| Text+wordvec49.056.7 |
| SpectrogramCNN17.924.3 | | 1 |
| ModelSearchR@10AnnotationR@10 |
| --- |
| Socheretal.28.629.0 | | | IR-l2r | IR-basedmethodwithfourteen<br>differentfeaturesandlearned<br>bylearningtorank |
| --- | --- |
| SMT | Statisticalmachinetranslation<br>modelbyusingtheMoseswith<br>defaultsettings. | | 0 |
| Method | H3DTestSet | | |
| --- | --- | --- | --- |
| | First | Best | Poolsize |
| CPMC | 0.54 | 0.72 | 783 |
| CPDC-MAF | 0.60 | 0.72 | 77 |
| CPDC-MAF-POSELETS | 0.53 | 0.6 | 98 |
| | MPIITestSet | | | | | | First | Best | Poolsize |
| --- | --- | --- | --- |
| CPMC | 0.29 | 0.73 | 686 |
| CPDC-MAF | 0.55 | 0.71 | 102 |
| CPDC-MAF-POSELETS | 0.43 | 0.58 | 114 | | 1 |
| Method | H3DTestSet | | |
| --- | --- | --- | --- |
| | First | Best | Poolsize |
| CPMC | 0.54 | 0.72 | 783 |
| CPDC-MAF | 0.60 | 0.72 | 77 |
| CPDC-MAF-POSELETS | 0.53 | 0.6 | 98 |
| | MPIITestSet | | | | | Method | LPBA40 | OASIS | Fetal |
| --- | --- | --- | --- |
| Auto-U-net | 10.03 | 22.85 | 14.11 |
| U-net | 4.57 | 11.36 | 6.87 |
| Auto-2.5D-CNN | 794.42 | 641.26 | 501.73 |
| 2.5D-CNN | 396.23 | 320.12 | 244.9 |
| PCNN | 36.51 | 40.99 | - |
| BET | 2.04 | 1.96 | 1.62 |
| 3dSkullStrip | 130.4 | 119.12 | 82.72 |
| Robex | 52.10 | 63.25 | - |
| HWA | 18.73 | 13.42 | - | | 0 |
| Method | H3DTestSet | | |
| --- | --- | --- | --- |
| | First | Best | Poolsize |
| CPMC | 0.54 | 0.72 | 783 | | | CPDC-MAF | 0.60 | 0.72 | 77 |
| --- | --- | --- | --- |
| CPDC-MAF-POSELETS | 0.53 | 0.6 | 98 |
| | MPIITestSet | | |
| | First | Best | Poolsize |
| CPMC | 0.29 | 0.73 | 686 |
| CPDC-MAF | 0.55 | 0.71 | 102 |
| CPDC-MAF-POSELETS | 0.43 | 0.58 | 114 | | 1 |
| Method | H3DTestSet | | |
| --- | --- | --- | --- |
| | First | Best | Poolsize |
| CPMC | 0.54 | 0.72 | 783 | | | BET | 2.04 | 1.96 | 1.62 |
| --- | --- | --- | --- |
| 3dSkullStrip | 130.4 | 119.12 | 82.72 |
| Robex | 52.10 | 63.25 | - |
| HWA | 18.73 | 13.42 | - | | 0 |
| Model | M1,AGMIC | M2,AGMIC |
| --- | --- | --- |
| Task | 1/0,20/2 | 0/1,21/2 |
| PR | 0.9820.51 | 0.80.77 | | | RE | 10.53 | 0.810.87 |
| --- | --- | --- |
| Acc | 0.9820.61 | 0.720.73 |
| AUC | 0.830.574 | 0.780.67 | | 1 |
| Model | M1,AGMIC | M2,AGMIC |
| --- | --- | --- |
| Task | 1/0,20/2 | 0/1,21/2 |
| PR | 0.9820.51 | 0.80.77 | | | Model | KL-weight | Acc4 | Acc2 |
| --- | --- | --- | --- |
| Ours | 1 | 0.83 | 0.71 |
| Ours | 2 | 0.88 | 0.64 |
| Ours | 4 | 0.82 | 0.69 |
| Slow | 1 | 0.58 | 0.11 |
| Slow | 2 | 0.65 | 0.12 |
| Slow | 4 | 0.66 | 0.13 |
| VAE | 1 | 0.80 | 0.13 |
| VAE | 2 | 0.52 | 0.12 |
| VAE | 4 | 0.51 | 0.13 | | 0 |
| Model | M1,AGMIC | M2,AGMIC |
| --- | --- | --- |
| Task | 1/0,20/2 | 0/1,21/2 |
| PR | 0.9820.51 | 0.80.77 | | | RE | 10.53 | 0.810.87 |
| --- | --- | --- |
| Acc | 0.9820.61 | 0.720.73 |
| AUC | 0.830.574 | 0.780.67 | | 1 |
| Model | M1,AGMIC | M2,AGMIC |
| --- | --- | --- |
| Task | 1/0,20/2 | 0/1,21/2 |
| PR | 0.9820.51 | 0.80.77 | | | Ours | 4 | 0.82 | 0.69 |
| --- | --- | --- | --- |
| Slow | 1 | 0.58 | 0.11 |
| Slow | 2 | 0.65 | 0.12 |
| Slow | 4 | 0.66 | 0.13 |
| VAE | 1 | 0.80 | 0.13 |
| VAE | 2 | 0.52 | 0.12 |
| VAE | 4 | 0.51 | 0.13 | | 0 |
| | BattleCity | µRTS-Melee | µRTS-Full |
| --- | --- | --- | --- |
| SearchTime | 10-80ms | 100ms-1.2s | 100ms-1s |
| Branching | 2-10 | 4-600 | 4-76560 | | | MaxLeaves | 248400 | 150525 | 207015 |
| --- | --- | --- | --- |
| MaxDepth | 1.44s | 7.20s | 4.90s | | 1 |
| | BattleCity | µRTS-Melee | µRTS-Full |
| --- | --- | --- | --- |
| SearchTime | 10-80ms | 100ms-1.2s | 100ms-1s |
| Branching | 2-10 | 4-600 | 4-76560 | | | m | 2,000 | 4,000 | 6,000 | 8,000 | 10,000 |
| --- | --- | --- | --- | --- | --- |
| CW | 99min | 102min | 121min | 155min | 190min |
| QC | 0.985 | 0.994 | 0.995 | 0.995 | 0.997 |
| CC | 95min | 123min | 132min | 141min | 151min |
| QD | 0.92 | 0.96 | 0.97 | 0.97 | 0.98 | | 0 |
| | BattleCity | µRTS-Melee | µRTS-Full |
| --- | --- | --- | --- |
| SearchTime | 10-80ms | 100ms-1.2s | 100ms-1s | | | Branching | 2-10 | 4-600 | 4-76560 |
| --- | --- | --- | --- |
| MaxLeaves | 248400 | 150525 | 207015 |
| MaxDepth | 1.44s | 7.20s | 4.90s | | 1 |
| | BattleCity | µRTS-Melee | µRTS-Full |
| --- | --- | --- | --- |
| SearchTime | 10-80ms | 100ms-1.2s | 100ms-1s | | | CC | 95min | 123min | 132min | 141min | 151min |
| --- | --- | --- | --- | --- | --- |
| QD | 0.92 | 0.96 | 0.97 | 0.97 | 0.98 | | 0 |
| Reference | Det./Rand. | Space | GraphG | RunningTime |
| --- | --- | --- | --- | --- |
| Prietoetal. | det | poly | Undirected | ∗O(klogk)<br>O(2) |
| Gutinal. | det | exp | Directed | O(2) |
| Cohenetal. | det<br>rand | exp<br>poly | Directed<br>Directed | O(55.8)<br>∗k<br>O(49.4) |
| Fominetal. | det<br>rand | exp<br>poly | Directed<br>Directed | O(16)<br>∗k+o(k)<br>O(16) |
| Fominetal. | det | poly | Undirected | O(8) | | | Shachnaietal. | det | exp | Directed | O(6.855) |
| --- | --- | --- | --- | --- |
| Daligault,Zehavi | rand | poly | Directed | O(4) |
| Lietal. | det | poly | Undirected | O(4) |
| Zehavi | det<br>rand | exp<br>exp | Directed<br>Directed | O(5.139)<br>∗k<br>O(3.617) |
| Thispaper | rand | poly | Undirected | O(3.455) | | 1 |
| Reference | Det./Rand. | Space | GraphG | RunningTime |
| --- | --- | --- | --- | --- |
| Prietoetal. | det | poly | Undirected | ∗O(klogk)<br>O(2) |
| Gutinal. | det | exp | Directed | O(2) |
| Cohenetal. | det<br>rand | exp<br>poly | Directed<br>Directed | O(55.8)<br>∗k<br>O(49.4) |
| Fominetal. | det<br>rand | exp<br>poly | Directed<br>Directed | O(16)<br>∗k+o(k)<br>O(16) |
| Fominetal. | det | poly | Undirected | O(8) | | | Reference | Randomized\Deterministic | Variation | RunningTime |
| --- | --- | --- | --- |
| Chenetal. | D | (3,p)-SP | ∗O(p)<br>O(p) |
| Downeyetal. | D | (3,p)-WSP | O(p) |
| Fellowsetal. | D | (3,p)-WSP | O(2) |
| Liuetal. | D | (3,p)-WSP | O(2,0097.152) |
| Koutis | D<br>R | (3,p)-SP<br>(3,p)-SP | O(2)<br>∗p<br>O(1,285.475) |
| Wangetal. | D | (3,p)-WSP | O(432.082) |
| Chenetal. | D | (3,p)-DM | O(21.907) |
| Liuetal. | D<br>D<br>R | (3,p)-SP<br>(3,p)-DM<br>(3,p)-DM | O(97.973)<br>∗p<br>O(21.254)<br>∗p<br>O(12.488) |
| Chenetal. | D<br>R | (3,p)-WSP<br>(3,p)-WSP | O(64)<br>∗p+o(p)<br>O(16) |
| Wangetal. | D | (3,p)-SP | O(43.615) |
| Chenetal. | D<br>D | (3,p)-WSP<br>(3,p)-WDM | O(32)<br>∗p+o(p)<br>O(16) |
| Koutis | R | (3,p)-SP | O(8) |
| Koutisetal. | R | (3,p)-DM | O(4) |
| Bj¨orklundetal. | R<br>R | (3,p)-SP<br>(3,p)-DM | O(3.344)<br>∗p<br>O(2) |
| Thispaper | D<br>D<br>D | (3,p)-WSP<br>(3,p)-WDM<br>(3,p)-DM | O(12.155)<br>∗p<br>O(8.125)<br>∗p<br>O(8.042) | | 0 |
| Reference | Det./Rand. | Space | GraphG | RunningTime |
| --- | --- | --- | --- | --- |
| Prietoetal. | det | poly | Undirected | ∗O(klogk)<br>O(2) |
| Gutinal. | det | exp | Directed | O(2) |
| Cohenetal. | det<br>rand | exp<br>poly | Directed<br>Directed | O(55.8)<br>∗k<br>O(49.4) |
| Fominetal. | det<br>rand | exp<br>poly | Directed<br>Directed | O(16)<br>∗k+o(k)<br>O(16) |
| Fominetal. | det | poly | Undirected | O(8) |
| Shachnaietal. | det | exp | Directed | O(6.855) |
| Daligault,Zehavi | rand | poly | Directed | O(4) | | | Lietal. | det | poly | Undirected | O(4) |
| --- | --- | --- | --- | --- |
| Zehavi | det<br>rand | exp<br>exp | Directed<br>Directed | O(5.139)<br>∗k<br>O(3.617) |
| Thispaper | rand | poly | Undirected | O(3.455) | | 1 |
| Reference | Det./Rand. | Space | GraphG | RunningTime |
| --- | --- | --- | --- | --- |
| Prietoetal. | det | poly | Undirected | ∗O(klogk)<br>O(2) |
| Gutinal. | det | exp | Directed | O(2) |
| Cohenetal. | det<br>rand | exp<br>poly | Directed<br>Directed | O(55.8)<br>∗k<br>O(49.4) |
| Fominetal. | det<br>rand | exp<br>poly | Directed<br>Directed | O(16)<br>∗k+o(k)<br>O(16) |
| Fominetal. | det | poly | Undirected | O(8) |
| Shachnaietal. | det | exp | Directed | O(6.855) |
| Daligault,Zehavi | rand | poly | Directed | O(4) | | | Koutis | R | (3,p)-SP | O(8) |
| --- | --- | --- | --- |
| Koutisetal. | R | (3,p)-DM | O(4) |
| Bj¨orklundetal. | R<br>R | (3,p)-SP<br>(3,p)-DM | O(3.344)<br>∗p<br>O(2) |
| Thispaper | D<br>D<br>D | (3,p)-WSP<br>(3,p)-WDM<br>(3,p)-DM | O(12.155)<br>∗p<br>O(8.125)<br>∗p<br>O(8.042) | | 0 |
| Model | Dataset | Accuracy |
| --- | --- | --- |
| Average | – | 0.544 |
| LSTM<br>LSTM<br>LSTM | EN<br>JA<br>ZH | 0.531<br>0.569<br>0.532 | | | MT+LSTM | TranslatedALL | 0.541 |
| --- | --- | --- |
| Parameter-sharingLSTM | ALL | 0.542 |
| Average | – | 0.581 |
| CNN<br>CNN<br>CNN | EN<br>JA<br>ZH | 0.578<br>0.610<br>0.553 |
| MT+CNN | TranslatedALL | 0.564 |
| Parameter-sharingCNN | ALL | 0.573 | | 1 |
| Model | Dataset | Accuracy |
| --- | --- | --- |
| Average | – | 0.544 |
| LSTM<br>LSTM<br>LSTM | EN<br>JA<br>ZH | 0.531<br>0.569<br>0.532 | | | Dataset | Electro. | Clothe. |
| --- | --- | --- |
| BPR | 0.7982 | 0.7061 |
| Bi-LSTM | 0.8757 | 0.7869 |
| Bi-LSTM+Attention | 0.8769 | 0.7835 |
| CNN+MaxPooling | 0.8804 | 0.7786 |
| ATRank | 0.8921 | 0.7905 | | 0 |
| Model | Dataset | Accuracy |
| --- | --- | --- |
| Average | – | 0.544 |
| LSTM<br>LSTM<br>LSTM | EN<br>JA<br>ZH | 0.531<br>0.569<br>0.532 |
| MT+LSTM | TranslatedALL | 0.541 |
| Parameter-sharingLSTM | ALL | 0.542 | | | Average | – | 0.581 |
| --- | --- | --- |
| CNN<br>CNN<br>CNN | EN<br>JA<br>ZH | 0.578<br>0.610<br>0.553 |
| MT+CNN | TranslatedALL | 0.564 |
| Parameter-sharingCNN | ALL | 0.573 | | 1 |
| Model | Dataset | Accuracy |
| --- | --- | --- |
| Average | – | 0.544 |
| LSTM<br>LSTM<br>LSTM | EN<br>JA<br>ZH | 0.531<br>0.569<br>0.532 |
| MT+LSTM | TranslatedALL | 0.541 |
| Parameter-sharingLSTM | ALL | 0.542 | | | Bi-LSTM+Attention | 0.8769 | 0.7835 |
| --- | --- | --- |
| CNN+MaxPooling | 0.8804 | 0.7786 |
| ATRank | 0.8921 | 0.7905 | | 0 |
| Algorithm | Complexity |
| --- | --- |
| SquareMaxvol | 2<br>O(mL) | | | RectangularMaxvol | O(mL) |
| --- | --- |
| GreedyExtend | O(mnL) |
| BackwardGreedy | O(mf) | | 1 |
| Algorithm | Complexity |
| --- | --- |
| SquareMaxvol | 2<br>O(mL) | | | Algorithm | Additions | Multiplications |
| --- | --- | --- |
| IDCCG | M+M<br>2<br>+J(M+6M−4) | 2M+2M<br>2<br>J(M+7M+3) |
| IDMCG | 2M+10M−4 | 3M+12M+3 |
| IncrementalLMS | 4M−1 | 3M+1 |
| IncrementalRLS | 4M+12M+1 | 4M+12M−1 | | 0 |
| Algorithm | Complexity |
| --- | --- |
| SquareMaxvol | 2<br>O(mL) |
| RectangularMaxvol | O(mL) | | | GreedyExtend | O(mnL) |
| --- | --- |
| BackwardGreedy | O(mf) | | 1 |
| Algorithm | Complexity |
| --- | --- |
| SquareMaxvol | 2<br>O(mL) |
| RectangularMaxvol | O(mL) | | | IncrementalLMS | 4M−1 | 3M+1 |
| --- | --- | --- |
| IncrementalRLS | 4M+12M+1 | 4M+12M−1 | | 0 |
| Function | Number<br>correct | Percentage<br>correct |
| --- | --- | --- |
| (Randombaseline) | 1949 | 47.6 |
| Mutualinfo | 2817 | 68.9 | | | Syntacticrulecost | 2913 | 71.2 |
| --- | --- | --- |
| L’hoodratio | 3120 | 76.3 |
| χ | 3339 | 81.6 |
| χ | 3407 | 83.3 |
| Meandistance | 3670 | 89.7 | | 1 |
| Function | Number<br>correct | Percentage<br>correct |
| --- | --- | --- |
| (Randombaseline) | 1949 | 47.6 |
| Mutualinfo | 2817 | 68.9 | | | Scalingfactorset | Number<br>correct | Percentage<br>correct |
| --- | --- | --- |
| (Randombaseline) | 1949 | 47.6 |
| Normalized | 3549 | 86.7 |
| Handtuned | 3717 | 90.8 |
| Leastsquares | 3841 | 93.9 |
| Hill-climbing | 3857 | 94.3 | | 0 |
| Function | Number<br>correct | Percentage<br>correct |
| --- | --- | --- |
| (Randombaseline) | 1949 | 47.6 |
| Mutualinfo | 2817 | 68.9 |
| Syntacticrulecost | 2913 | 71.2 |
| L’hoodratio | 3120 | 76.3 |
| χ | 3339 | 81.6 | | | χ | 3407 | 83.3 |
| --- | --- | --- |
| Meandistance | 3670 | 89.7 | | 1 |
| Function | Number<br>correct | Percentage<br>correct |
| --- | --- | --- |
| (Randombaseline) | 1949 | 47.6 |
| Mutualinfo | 2817 | 68.9 |
| Syntacticrulecost | 2913 | 71.2 |
| L’hoodratio | 3120 | 76.3 |
| χ | 3339 | 81.6 | | | Normalized | 3549 | 86.7 |
| --- | --- | --- |
| Handtuned | 3717 | 90.8 |
| Leastsquares | 3841 | 93.9 |
| Hill-climbing | 3857 | 94.3 | | 0 |
| SEMANTIC | SYNTACTIC |
| --- | --- |
| “general”-similarity | | | | secretary<br>elections<br>motors<br>undersecretary | 0.619<br>0.563<br>0.535<br>0.534 | gneral<br>genral<br>generally<br>generation | 0.986<br>0.978<br>0.954<br>0.944 |
| --- | --- | --- | --- |
| “sees”-“see”+“bank”=˜ | | | |
| firestone<br>yard<br>peres<br>c.c | 0.580<br>0.545<br>0.506<br>0.500 | banks<br>bank<br>balks<br>bans | 0.970<br>0.939<br>0.914<br>0.895 | | 1 |
| SEMANTIC | SYNTACTIC |
| --- | --- |
| “general”-similarity | | | | SemanticArchitecture | CBOW | CLOW | DIEM |
| --- | --- | --- | --- |
| SemanticVectorDim. | 500500 | 500 | |
| SEMANTICTOTAL | 81.0280.19 | 80.19 | |
| adjective-to-adverb<br>opposite<br>comparative<br>superlative<br>present-participle<br>nationality-adjective<br>past-tense<br>plural<br>plural-verbs | 37.7035.08<br>36.2140.15<br>86.7187.31<br>80.1282.00<br>77.2780.78<br>90.4390.18<br>72.3773.40<br>80.1881.83<br>58.5163.68 | 94.55<br>74.60<br>92.49<br>87.61<br>93.27<br>71.04<br>47.56<br>93.69<br>95.97 | |
| SYNTACTICTOTAL | 72.0473.45 | 81.53 | |
| COMBINEDSCORE | 76.0876.49 | 80.93 | | | 0 |
| SEMANTIC | SYNTACTIC | | |
| --- | --- | --- | --- |
| “general”-similarity | | | |
| secretary<br>elections<br>motors<br>undersecretary | 0.619<br>0.563<br>0.535<br>0.534 | gneral<br>genral<br>generally<br>generation | 0.986<br>0.978<br>0.954<br>0.944 | | | “sees”-“see”+“bank”=˜ | | | |
| --- | --- | --- | --- |
| firestone<br>yard<br>peres<br>c.c | 0.580<br>0.545<br>0.506<br>0.500 | banks<br>bank<br>balks<br>bans | 0.970<br>0.939<br>0.914<br>0.895 | | 1 |
| SEMANTIC | SYNTACTIC | | |
| --- | --- | --- | --- |
| “general”-similarity | | | |
| secretary<br>elections<br>motors<br>undersecretary | 0.619<br>0.563<br>0.535<br>0.534 | gneral<br>genral<br>generally<br>generation | 0.986<br>0.978<br>0.954<br>0.944 | | | SYNTACTICTOTAL | 72.0473.45 | 81.53 |
| --- | --- | --- |
| COMBINEDSCORE | 76.0876.49 | 80.93 | | 0 |
| pair | ∅ | ω1 | ω2 | ω3 | ω4 | Ω |
| --- | --- | --- | --- | --- | --- | --- |
| (1,2) | 0.17989 | 0.08620 | 0.19870 | 0.21626 | 0.01139 | 0.30755 |
| (2,3) | 0.07858 | 0.17209 | 0.03612 | 0.08545 | 0.15812 | 0.46962 |
| (2,4) | 0.08745 | 0.07225 | 0.12931 | 0.11762 | 0.12373 | 0.46962 | | | (3,4) | 0.07858 | 0.17209 | 0.03612 | 0.08545 | 0.15812 | 0.46962 |
| --- | --- | --- | --- | --- | --- | --- |
| (4,5) | 0.20880 | 0.22056 | 0.15581 | 0.09589 | 0.03375 | 0.28519 | | 1 |
| pair | ∅ | ω1 | ω2 | ω3 | ω4 | Ω |
| --- | --- | --- | --- | --- | --- | --- |
| (1,2) | 0.17989 | 0.08620 | 0.19870 | 0.21626 | 0.01139 | 0.30755 |
| (2,3) | 0.07858 | 0.17209 | 0.03612 | 0.08545 | 0.15812 | 0.46962 |
| (2,4) | 0.08745 | 0.07225 | 0.12931 | 0.11762 | 0.12373 | 0.46962 | | | pair | ∅ | ω1 | ω2 | ω3 | ω4 | Ω |
| --- | --- | --- | --- | --- | --- | --- |
| (1,2) | 0 | 0.13975 | 0.23775 | 0.232 | 0.025 | 0.3655 |
| (2,3) | 0 | 0.1765 | 0.05 | 0.10825 | 0.17 | 0.49525 |
| (2,4) | 0 | 0.1 | 0.152 | 0.138 | 0.14875 | 0.46125 |
| (3,4) | 0 | 0.1765 | 0.05 | 0.10825 | 0.17 | 0.49525 |
| (4,5) | 0 | 0.241 | 0.234 | 0.152 | 0.06775 | 0.30525 | | 0 |
| pair | ∅ | ω1 | ω2 | ω3 | ω4 | Ω |
| --- | --- | --- | --- | --- | --- | --- |
| (1,2) | 0.17989 | 0.08620 | 0.19870 | 0.21626 | 0.01139 | 0.30755 |
| (2,3) | 0.07858 | 0.17209 | 0.03612 | 0.08545 | 0.15812 | 0.46962 |
| (2,4) | 0.08745 | 0.07225 | 0.12931 | 0.11762 | 0.12373 | 0.46962 | | | (3,4) | 0.07858 | 0.17209 | 0.03612 | 0.08545 | 0.15812 | 0.46962 |
| --- | --- | --- | --- | --- | --- | --- |
| (4,5) | 0.20880 | 0.22056 | 0.15581 | 0.09589 | 0.03375 | 0.28519 | | 1 |
| pair | ∅ | ω1 | ω2 | ω3 | ω4 | Ω |
| --- | --- | --- | --- | --- | --- | --- |
| (1,2) | 0.17989 | 0.08620 | 0.19870 | 0.21626 | 0.01139 | 0.30755 |
| (2,3) | 0.07858 | 0.17209 | 0.03612 | 0.08545 | 0.15812 | 0.46962 |
| (2,4) | 0.08745 | 0.07225 | 0.12931 | 0.11762 | 0.12373 | 0.46962 | | | (2,3) | 0 | 0.1765 | 0.05 | 0.10825 | 0.17 | 0.49525 |
| --- | --- | --- | --- | --- | --- | --- |
| (2,4) | 0 | 0.1 | 0.152 | 0.138 | 0.14875 | 0.46125 |
| (3,4) | 0 | 0.1765 | 0.05 | 0.10825 | 0.17 | 0.49525 |
| (4,5) | 0 | 0.241 | 0.234 | 0.152 | 0.06775 | 0.30525 | | 0 |
| Cross-subject | | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| 0.1 | 0.3 | 0.5 | 0.7 | 0.1 | 0.3 | 0.5 |
| 0.507 | 0.323 | 0.147 | 0.024 | 0.617 | 0.439 | 0.221 |
| 0.626 | 0.402 | 0.168 | 0.023 | 0.697 | 0.482 | 0.234 |
| 0.479 | 0.325 | 0.130 | 0.014 | 0.545 | 0.352 | 0.159 |
| 0.493 | 0.318 | 0.121 | 0.010 | 0.549 | 0.366 | 0.163 |
| 0.574 | 0.406 | 0.162 | 0.018 | 0.675 | 0.498 | 0.255 | | | 0.643 | 0.438 | 0.171 | 0.021 | 0.741 | 0.537 | 0.258 |
| --- | --- | --- | --- | --- | --- | --- |
| 0.647 | 0.476 | 0.199 | 0.026 | 0.747 | 0.584 | 0.306 |
| 0.649 | 0.471 | 0.199 | 0.025 | 0.742 | 0.585 | 0.306 | | 1 |
| Cross-subject | | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| 0.1 | 0.3 | 0.5 | 0.7 | 0.1 | 0.3 | 0.5 |
| 0.507 | 0.323 | 0.147 | 0.024 | 0.617 | 0.439 | 0.221 |
| 0.626 | 0.402 | 0.168 | 0.023 | 0.697 | 0.482 | 0.234 |
| 0.479 | 0.325 | 0.130 | 0.014 | 0.545 | 0.352 | 0.159 |
| 0.493 | 0.318 | 0.121 | 0.010 | 0.549 | 0.366 | 0.163 |
| 0.574 | 0.406 | 0.162 | 0.018 | 0.675 | 0.498 | 0.255 | | | 0.414 | 0.245 | 0.033 | 0.018 | 0.012 | 0.032 | 0.043 | 0.064 | 0.075 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 0.058 | 0.297 | 0.246 | 0.037 | 0.021 | 0.043 | 0.051 | 0.089 | 0.091 |
| 0.031 | 0.053 | 0.298 | 0.227 | 0.049 | 0.042 | 0.042 | 0.049 | 0.132 |
| 0.031 | 0.041 | 0.089 | 0.345 | 0.182 | 0.057 | 0.037 | 0.039 | 0.116 |
| 0.037 | 0.057 | 0.056 | 0.063 | 0.337 | 0.212 | 0.047 | 0.038 | 0.082 |
| 0.056 | 0.049 | 0.061 | 0.041 | 0.053 | 0.339 | 0.23 | 0.041 | 0.065 |
| 0.08 | 0.067 | 0.054 | 0.035 | 0.03 | 0.041 | 0.332 | 0.204 | 0.077 |
| 0.065 | 0.074 | 0.082 | 0.043 | 0.03 | 0.04 | 0.048 | 0.339 | 0.203 |
| 0.05 | 0.044 | 0.066 | 0.065 | 0.048 | 0.033 | 0.048 | 0.044 | 0.488 |
| 0.035 | 0.036 | 0.055 | 0.048 | 0.039 | 0.048 | 0.061 | 0.06 | 0.106 | | 0 |
| Cross-subject | | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| 0.1 | 0.3 | 0.5 | 0.7 | 0.1 | 0.3 | 0.5 |
| 0.507 | 0.323 | 0.147 | 0.024 | 0.617 | 0.439 | 0.221 |
| 0.626 | 0.402 | 0.168 | 0.023 | 0.697 | 0.482 | 0.234 | | | 0.479 | 0.325 | 0.130 | 0.014 | 0.545 | 0.352 | 0.159 |
| --- | --- | --- | --- | --- | --- | --- |
| 0.493 | 0.318 | 0.121 | 0.010 | 0.549 | 0.366 | 0.163 |
| 0.574 | 0.406 | 0.162 | 0.018 | 0.675 | 0.498 | 0.255 |
| 0.643 | 0.438 | 0.171 | 0.021 | 0.741 | 0.537 | 0.258 |
| 0.647 | 0.476 | 0.199 | 0.026 | 0.747 | 0.584 | 0.306 |
| 0.649 | 0.471 | 0.199 | 0.025 | 0.742 | 0.585 | 0.306 | | 1 |
| Cross-subject | | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| 0.1 | 0.3 | 0.5 | 0.7 | 0.1 | 0.3 | 0.5 |
| 0.507 | 0.323 | 0.147 | 0.024 | 0.617 | 0.439 | 0.221 |
| 0.626 | 0.402 | 0.168 | 0.023 | 0.697 | 0.482 | 0.234 | | | 0.08 | 0.067 | 0.054 | 0.035 | 0.03 | 0.041 | 0.332 | 0.204 | 0.077 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 0.065 | 0.074 | 0.082 | 0.043 | 0.03 | 0.04 | 0.048 | 0.339 | 0.203 |
| 0.05 | 0.044 | 0.066 | 0.065 | 0.048 | 0.033 | 0.048 | 0.044 | 0.488 |
| 0.035 | 0.036 | 0.055 | 0.048 | 0.039 | 0.048 | 0.061 | 0.06 | 0.106 | | 0 |
| Method | MemoryConsumption<br>(inbytesperprefix) | Latency(ns) | |
| --- | --- | --- | --- |
| Tree-based | 19.0 | 90 | O(N) |
| CLIPS | 27.6 | N/A | N/A |
| FlashTrie | 124.2 | 80 | N/A | | | FlashLook | 1010.0 | 90 | N/A |
| --- | --- | --- | --- |
| SHIP | 10.64 | 31 | O(N) | | 1 |
| Method | MemoryConsumption<br>(inbytesperprefix) | Latency(ns) | |
| --- | --- | --- | --- |
| Tree-based | 19.0 | 90 | O(N) |
| CLIPS | 27.6 | N/A | N/A |
| FlashTrie | 124.2 | 80 | N/A | | | NAS<br>benchmark | Numberof<br>processes | Ckpt<br>time(s) | Ckpt<br>size(MB) |
| --- | --- | --- | --- |
| LU.E | 128×4 | 70.8 | 350 |
| LU.E | 64×8 | 136.6 | 356 |
| LU.E | 32×16 | 222.6 | 355 |
| LU.E | 128×16 | 70.2 | 117 | | 0 |
| Method | MemoryConsumption<br>(inbytesperprefix) | Latency(ns) | |
| --- | --- | --- | --- |
| Tree-based | 19.0 | 90 | O(N) |
| CLIPS | 27.6 | N/A | N/A |
| FlashTrie | 124.2 | 80 | N/A | | | FlashLook | 1010.0 | 90 | N/A |
| --- | --- | --- | --- |
| SHIP | 10.64 | 31 | O(N) | | 1 |
| Method | MemoryConsumption<br>(inbytesperprefix) | Latency(ns) | |
| --- | --- | --- | --- |
| Tree-based | 19.0 | 90 | O(N) |
| CLIPS | 27.6 | N/A | N/A |
| FlashTrie | 124.2 | 80 | N/A | | | LU.E | 64×8 | 136.6 | 356 |
| --- | --- | --- | --- |
| LU.E | 32×16 | 222.6 | 355 |
| LU.E | 128×16 | 70.2 | 117 | | 0 |
| t | k | maximaln | ourresult | result | t | k | maximaln | ourresult | result |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 7 | 2 | 192 | 551 | 557 | 15 | 2 | 49152 | 147407 | 147421 |
| 8 | 2 | 384 | 1124 | 1131 | 15 | 3 | 57344 | 229266 | 229307 |
| 8 | 3 | 448 | 1731 | 1751 | 15 | 4 | 61440 | 306973 | 307094 |
| 9 | 2 | 768 | 2273 | 2281 | 15 | 5 | 63488 | 380476 | 380778 |
| 9 | 3 | 896 | 3516 | 3539 | 15 | 6 | 64512 | 450699 | 451375 |
| 10 | 2 | 1536 | 4574 | 4583 | 16 | 2 | 98304 | 294860 | 294875 |
| 10 | 3 | 1792 | 7093 | 7119 | 16 | 3 | 114688 | 458635 | 458679 |
| 10 | 4 | 1920 | 9448 | 9524 | 16 | 4 | 122880 | 614158 | 614288 |
| 11 | 2 | 3072 | 9179 | 9189 | 16 | 5 | 126976 | 761373 | 761698 |
| 11 | 3 | 3584 | 14254 | 14283 | 16 | 6 | 129024 | 902220 | 902949 |
| 11 | 4 | 3840 | 19033 | 19118 | 16 | 7 | 130048 | 1038539 | 1040073 |
| 12 | 2 | 6144 | 18392 | 18403 | 17 | 2 | 196608 | 589769 | 589785 |
| 12 | 3 | 7168 | 28583 | 28615 | 17 | 3 | 229376 | 917380 | 917427 |
| 12 | 4 | 7680 | 38218 | 38312 | 17 | 4 | 245760 | 1228543 | 1228682 | | | 12 | 5 | 7936 | 47257 | 47490 | 17 | 5 | 253952 | 1523198 | 1523546 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 13 | 2 | 12288 | 36821 | 36833 | 17 | 6 | 258048 | 1805325 | 1806107 |
| 13 | 3 | 14336 | 57248 | 57283 | 17 | 7 | 260096 | 2078796 | 2080445 |
| 13 | 4 | 15360 | 76603 | 76706 | 18 | 2 | 393216 | 1179590 | 1179607 |
| 13 | 5 | 15872 | 94842 | 95098 | 18 | 3 | 458752 | 1834877 | 1834927 |
| 14 | 2 | 24576 | 73682 | 73695 | 18 | 4 | 491520 | 2457328 | 2457476 |
| 14 | 3 | 28672 | 114585 | 114623 | 18 | 5 | 507904 | 3046879 | 3047250 |
| 14 | 4 | 30720 | 153388 | 153500 | 18 | 6 | 516096 | 3611598 | 3612433 |
| 14 | 5 | 31744 | 190043 | 190322 | 18 | 7 | 520192 | 4159437 | 4161201 |
| 14 | 6 | 32256 | 224970 | 225593 | 18 | 8 | 522240 | 4696076 | 4699666 | | 1 |
| t | k | maximaln | ourresult | result | t | k | maximaln | ourresult | result |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 7 | 2 | 192 | 551 | 557 | 15 | 2 | 49152 | 147407 | 147421 |
| 8 | 2 | 384 | 1124 | 1131 | 15 | 3 | 57344 | 229266 | 229307 |
| 8 | 3 | 448 | 1731 | 1751 | 15 | 4 | 61440 | 306973 | 307094 |
| 9 | 2 | 768 | 2273 | 2281 | 15 | 5 | 63488 | 380476 | 380778 |
| 9 | 3 | 896 | 3516 | 3539 | 15 | 6 | 64512 | 450699 | 451375 |
| 10 | 2 | 1536 | 4574 | 4583 | 16 | 2 | 98304 | 294860 | 294875 |
| 10 | 3 | 1792 | 7093 | 7119 | 16 | 3 | 114688 | 458635 | 458679 |
| 10 | 4 | 1920 | 9448 | 9524 | 16 | 4 | 122880 | 614158 | 614288 |
| 11 | 2 | 3072 | 9179 | 9189 | 16 | 5 | 126976 | 761373 | 761698 |
| 11 | 3 | 3584 | 14254 | 14283 | 16 | 6 | 129024 | 902220 | 902949 |
| 11 | 4 | 3840 | 19033 | 19118 | 16 | 7 | 130048 | 1038539 | 1040073 |
| 12 | 2 | 6144 | 18392 | 18403 | 17 | 2 | 196608 | 589769 | 589785 |
| 12 | 3 | 7168 | 28583 | 28615 | 17 | 3 | 229376 | 917380 | 917427 |
| 12 | 4 | 7680 | 38218 | 38312 | 17 | 4 | 245760 | 1228543 | 1228682 | | | t<br>20 | k<br>2 | maximaln<br>1572864 | ourresult<br>4718528 | result<br>4718547 |
| --- | --- | --- | --- | --- |
| 20 | 3 | 1835008 | 7339887 | 7339943 |
| 20 | 4 | 1966080 | 9830098 | 9830264 |
| 20 | 5 | 2031616 | 12189089 | 12189506 |
| 20 | 6 | 2064384 | 14449488 | 14450429 |
| 20 | 7 | 2080768 | 16643791 | 16645785 |
| 20 | 8 | 2088960 | 18796046 | 18800118 |
| 20 | 9 | 2093056 | 20921613 | 20929748 |
| 21 | 2 | 3145728 | 9437117 | 9437137 |
| 21 | 3 | 3670016 | 14679912 | 14679971 |
| 21 | 4 | 3932160 | 19660483 | 19660658 |
| 21 | 5 | 4063232 | 24378754 | 24379194 |
| 21 | 6 | 4128768 | 28900113 | 28901107 |
| 21 | 7 | 4161536 | 33289808 | 33291917 |
| 21 | 8 | 4177920 | 37596431 | 37600744 |
| 21 | 9 | 4186112 | 41851662 | 41860292 |
| 22 | 2 | 6291456 | 18874298 | 18874319 |
| 22 | 3 | 7340032 | 29359969 | 29360031 |
| 22 | 4 | 7864320 | 39321268 | 39321452 |
| 22 | 5 | 8126464 | 48758115 | 48758578 |
| 22 | 6 | 8257536 | 57801426 | 57802473 |
| 22 | 7 | 8323072 | 66581969 | 66584193 |
| 22 | 8 | 8355840 | 75197456 | 75202010 |
| 22 | 9 | 8372224 | 83712271 | 83721396 |
| 22 | 10 | 8380416 | 92165134 | 92183183 | | 0 |
| t | k | maximaln | ourresult | result | t | k | maximaln | ourresult | result |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 7 | 2 | 192 | 551 | 557 | 15 | 2 | 49152 | 147407 | 147421 |
| 8 | 2 | 384 | 1124 | 1131 | 15 | 3 | 57344 | 229266 | 229307 |
| 8 | 3 | 448 | 1731 | 1751 | 15 | 4 | 61440 | 306973 | 307094 |
| 9 | 2 | 768 | 2273 | 2281 | 15 | 5 | 63488 | 380476 | 380778 |
| 9 | 3 | 896 | 3516 | 3539 | 15 | 6 | 64512 | 450699 | 451375 | | | 10 | 2 | 1536 | 4574 | 4583 | 16 | 2 | 98304 | 294860 | 294875 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 10 | 3 | 1792 | 7093 | 7119 | 16 | 3 | 114688 | 458635 | 458679 |
| 10 | 4 | 1920 | 9448 | 9524 | 16 | 4 | 122880 | 614158 | 614288 |
| 11 | 2 | 3072 | 9179 | 9189 | 16 | 5 | 126976 | 761373 | 761698 |
| 11 | 3 | 3584 | 14254 | 14283 | 16 | 6 | 129024 | 902220 | 902949 |
| 11 | 4 | 3840 | 19033 | 19118 | 16 | 7 | 130048 | 1038539 | 1040073 |
| 12 | 2 | 6144 | 18392 | 18403 | 17 | 2 | 196608 | 589769 | 589785 |
| 12 | 3 | 7168 | 28583 | 28615 | 17 | 3 | 229376 | 917380 | 917427 |
| 12 | 4 | 7680 | 38218 | 38312 | 17 | 4 | 245760 | 1228543 | 1228682 |
| 12 | 5 | 7936 | 47257 | 47490 | 17 | 5 | 253952 | 1523198 | 1523546 |
| 13 | 2 | 12288 | 36821 | 36833 | 17 | 6 | 258048 | 1805325 | 1806107 |
| 13 | 3 | 14336 | 57248 | 57283 | 17 | 7 | 260096 | 2078796 | 2080445 |
| 13 | 4 | 15360 | 76603 | 76706 | 18 | 2 | 393216 | 1179590 | 1179607 |
| 13 | 5 | 15872 | 94842 | 95098 | 18 | 3 | 458752 | 1834877 | 1834927 |
| 14 | 2 | 24576 | 73682 | 73695 | 18 | 4 | 491520 | 2457328 | 2457476 |
| 14 | 3 | 28672 | 114585 | 114623 | 18 | 5 | 507904 | 3046879 | 3047250 |
| 14 | 4 | 30720 | 153388 | 153500 | 18 | 6 | 516096 | 3611598 | 3612433 |
| 14 | 5 | 31744 | 190043 | 190322 | 18 | 7 | 520192 | 4159437 | 4161201 |
| 14 | 6 | 32256 | 224970 | 225593 | 18 | 8 | 522240 | 4696076 | 4699666 | | 1 |
| t | k | maximaln | ourresult | result | t | k | maximaln | ourresult | result |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 7 | 2 | 192 | 551 | 557 | 15 | 2 | 49152 | 147407 | 147421 |
| 8 | 2 | 384 | 1124 | 1131 | 15 | 3 | 57344 | 229266 | 229307 |
| 8 | 3 | 448 | 1731 | 1751 | 15 | 4 | 61440 | 306973 | 307094 |
| 9 | 2 | 768 | 2273 | 2281 | 15 | 5 | 63488 | 380476 | 380778 |
| 9 | 3 | 896 | 3516 | 3539 | 15 | 6 | 64512 | 450699 | 451375 | | | 21 | 6 | 4128768 | 28900113 | 28901107 |
| --- | --- | --- | --- | --- |
| 21 | 7 | 4161536 | 33289808 | 33291917 |
| 21 | 8 | 4177920 | 37596431 | 37600744 |
| 21 | 9 | 4186112 | 41851662 | 41860292 |
| 22 | 2 | 6291456 | 18874298 | 18874319 |
| 22 | 3 | 7340032 | 29359969 | 29360031 |
| 22 | 4 | 7864320 | 39321268 | 39321452 |
| 22 | 5 | 8126464 | 48758115 | 48758578 |
| 22 | 6 | 8257536 | 57801426 | 57802473 |
| 22 | 7 | 8323072 | 66581969 | 66584193 |
| 22 | 8 | 8355840 | 75197456 | 75202010 |
| 22 | 9 | 8372224 | 83712271 | 83721396 |
| 22 | 10 | 8380416 | 92165134 | 92183183 | | 0 |
| Ent | ED | MI | | | |
| --- | --- | --- | --- | --- | --- |
| 15 | 2.872 | 15 | 0.860 | 11 | 0.077 |
| 9 | 2.760 | 10 | 0.835 | 10 | 0.116 |
| 2 | 2.619 | 11 | 0.814 | 7 | 0.219 |
| 3 | 2.600 | 9 | 0.805 | 5 | 0.219 |
| 6 | 2.510 | 3 | 0.796 | 8 | 0.220 |
| 13 | 2.510 | 2 | 0.794 | 6 | 0.221 |
| 5 | 2.506 | 7 | 0.766 | 4 | 0.221 | | | 4 | 2.506 | 8 | 0.764 | 1 | 0.223 |
| --- | --- | --- | --- | --- | --- |
| 7 | 2.505 | 6 | 0.763 | 2 | 0.225 |
| 8 | 2.505 | 5 | 0.763 | 3 | 0.225 |
| 1 | 2.504 | 4 | 0.753 | 9 | 0.241 |
| 12 | 2.454 | 12 | 0.742 | 15 | 0.248 |
| 10 | 1.962 | 1 | 0.700 | 12 | 0.717 |
| 11 | 1.614 | 13 | 0.535 | 13 | 1.085 | | 1 |
| Ent | ED | MI | | | |
| --- | --- | --- | --- | --- | --- |
| 15 | 2.872 | 15 | 0.860 | 11 | 0.077 |
| 9 | 2.760 | 10 | 0.835 | 10 | 0.116 |
| 2 | 2.619 | 11 | 0.814 | 7 | 0.219 |
| 3 | 2.600 | 9 | 0.805 | 5 | 0.219 |
| 6 | 2.510 | 3 | 0.796 | 8 | 0.220 |
| 13 | 2.510 | 2 | 0.794 | 6 | 0.221 |
| 5 | 2.506 | 7 | 0.766 | 4 | 0.221 | | | 0 | 10 | 20 | 30 | 40 | 50 | 60 |
| --- | --- | --- | --- | --- | --- | --- |
| 9.3 | 7.6 | 5.9 | 4.3 | 3.0 | 2.0 | 1.2 |
| 38.2 | 31.1 | 24.4 | 18.3 | 13.1 | 8.8 | 5.5 |
| 86.7 | 70.4 | 55.2 | 41.4 | 29.7 | 19.9 | 12.4 |
| 155.4 | 125.9 | 98.9 | 74.4 | 53.5 | 36.1 | 22.5 |
| 326.0 | 264.5 | 207.6 | 156.2 | 111.9 | 75.7 | 47.1 | | 0 |
| Ent | ED | MI | | | |
| --- | --- | --- | --- | --- | --- |
| 15 | 2.872 | 15 | 0.860 | 11 | 0.077 |
| 9 | 2.760 | 10 | 0.835 | 10 | 0.116 |
| 2 | 2.619 | 11 | 0.814 | 7 | 0.219 |
| 3 | 2.600 | 9 | 0.805 | 5 | 0.219 |
| 6 | 2.510 | 3 | 0.796 | 8 | 0.220 |
| 13 | 2.510 | 2 | 0.794 | 6 | 0.221 |
| 5 | 2.506 | 7 | 0.766 | 4 | 0.221 | | | 4 | 2.506 | 8 | 0.764 | 1 | 0.223 |
| --- | --- | --- | --- | --- | --- |
| 7 | 2.505 | 6 | 0.763 | 2 | 0.225 |
| 8 | 2.505 | 5 | 0.763 | 3 | 0.225 |
| 1 | 2.504 | 4 | 0.753 | 9 | 0.241 |
| 12 | 2.454 | 12 | 0.742 | 15 | 0.248 |
| 10 | 1.962 | 1 | 0.700 | 12 | 0.717 |
| 11 | 1.614 | 13 | 0.535 | 13 | 1.085 | | 1 |
| Ent | ED | MI | | | |
| --- | --- | --- | --- | --- | --- |
| 15 | 2.872 | 15 | 0.860 | 11 | 0.077 |
| 9 | 2.760 | 10 | 0.835 | 10 | 0.116 |
| 2 | 2.619 | 11 | 0.814 | 7 | 0.219 |
| 3 | 2.600 | 9 | 0.805 | 5 | 0.219 |
| 6 | 2.510 | 3 | 0.796 | 8 | 0.220 |
| 13 | 2.510 | 2 | 0.794 | 6 | 0.221 |
| 5 | 2.506 | 7 | 0.766 | 4 | 0.221 | | | 38.2 | 31.1 | 24.4 | 18.3 | 13.1 | 8.8 | 5.5 |
| --- | --- | --- | --- | --- | --- | --- |
| 86.7 | 70.4 | 55.2 | 41.4 | 29.7 | 19.9 | 12.4 |
| 155.4 | 125.9 | 98.9 | 74.4 | 53.5 | 36.1 | 22.5 |
| 326.0 | 264.5 | 207.6 | 156.2 | 111.9 | 75.7 | 47.1 | | 0 |
| Framework | Language | NativeModels | LinesofCode |
| --- | --- | --- | --- |
| Caffe | C++ | CNN | 74,903 |
| Theano | Python,C | MLP/CNN/RNN | 148,817 | | | Torch | Lua,C | MLP/CNN/RNN | 458,650 |
| --- | --- | --- | --- |
| TensorFlow | C++ | MLP/CNN/RNN | 335,669 |
| Matconvnet | Matlab,C | CNN | 43,087 |
| LightNet | Matlab | MLP/CNN/RNN | 951(1,762)* | | 1 |
| Framework | Language | NativeModels | LinesofCode |
| --- | --- | --- | --- |
| Caffe | C++ | CNN | 74,903 |
| Theano | Python,C | MLP/CNN/RNN | 148,817 | | | | d-vector | DNN-class |
| --- | --- | --- |
| DNN-MFCC | 0.88 | 0.72 |
| CNN-FBANK | 0.60 | 0.37 |
| CNN-Raw | 0.58 | 0.36 |
| SINCNET | 0.51 | 0.32 | | 0 |
| Framework | Language | NativeModels | LinesofCode |
| --- | --- | --- | --- |
| Caffe | C++ | CNN | 74,903 | | | Theano | Python,C | MLP/CNN/RNN | 148,817 |
| --- | --- | --- | --- |
| Torch | Lua,C | MLP/CNN/RNN | 458,650 |
| TensorFlow | C++ | MLP/CNN/RNN | 335,669 |
| Matconvnet | Matlab,C | CNN | 43,087 |
| LightNet | Matlab | MLP/CNN/RNN | 951(1,762)* | | 1 |
| Framework | Language | NativeModels | LinesofCode |
| --- | --- | --- | --- |
| Caffe | C++ | CNN | 74,903 | | | CNN-Raw | 0.58 | 0.36 |
| --- | --- | --- |
| SINCNET | 0.51 | 0.32 | | 0 |
| filter | 5x5 | 7x7 | 5x5 | 7x7 | 5x5 | 7x7 | 5x5 | 7x7 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | | | | | filter | 5x3 | 7x5 | 5x3 | 7x5 | 5x3 | 7x5 | 5x3 | 7x5 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | | |
| filter | 5x3 | 7x5 | 5x3 | 7x5 | 5x3 | 7x5 | 5x3 | 8x4 |
| | | | | | | | | | | 1 |
| filter | 5x5 | 7x7 | 5x5 | 7x7 | 5x5 | 7x7 | 5x5 | 7x7 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | | | | | FilterShape |
| --- |
| 3×3×51 |
| 3×3×46 |
| 3×3×55 |
| 3×3×85 |
| 3×3×16 |
| 3×3×84 |
| 3×3×24 |
| 3×3×126 |
| 3×3×24 |
| 3×3×126 |
| 3×3×24 |
| 3×3×126 |
| 3×3×24 |
| 3×3×126 |
| 3×3×16 |
| 3×3×84 | | 0 |
| filter | 5x5 | 7x7 | 5x5 | 7x7 | 5x5 | 7x7 | 5x5 | 7x7 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | | |
| filter | 5x3 | 7x5 | 5x3 | 7x5 | 5x3 | 7x5 | 5x3 | 7x5 |
| | | | | | | | | | | | filter | 5x3 | 7x5 | 5x3 | 7x5 | 5x3 | 7x5 | 5x3 | 8x4 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | | | | 1 |
| filter | 5x5 | 7x7 | 5x5 | 7x7 | 5x5 | 7x7 | 5x5 | 7x7 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | | |
| filter | 5x3 | 7x5 | 5x3 | 7x5 | 5x3 | 7x5 | 5x3 | 7x5 |
| | | | | | | | | | | | 3×3×55 |
| --- |
| 3×3×85 |
| 3×3×16 |
| 3×3×84 |
| 3×3×24 |
| 3×3×126 |
| 3×3×24 |
| 3×3×126 |
| 3×3×24 |
| 3×3×126 |
| 3×3×24 |
| 3×3×126 |
| 3×3×16 |
| 3×3×84 | | 0 |
| Model | WERSWB | WERCH | | |
| --- | --- | --- | --- | --- |
| CE | ST | CE | ST | |
| CNN | 12.6 | 10.4 | 18.4 | 17.9 |
| DNN | 11.7 | 10.3 | 18.5 | 17.0 |
| RNN | 11.5 | 9.9 | 17.7 | 16.3 |
| DNN+CNN | 11.3 | 9.6 | 17.4 | 16.3 | | | RNN+CNN | 11.2 | 9.4 | 17.0 | 16.1 |
| --- | --- | --- | --- | --- |
| DNN+RNN+CNN | 11.1 | 9.4 | 17.1 | 15.9 | | 1 |
| Model | WERSWB | WERCH | | |
| --- | --- | --- | --- | --- |
| CE | ST | CE | ST | |
| CNN | 12.6 | 10.4 | 18.4 | 17.9 |
| DNN | 11.7 | 10.3 | 18.5 | 17.0 |
| RNN | 11.5 | 9.9 | 17.7 | 16.3 |
| DNN+CNN | 11.3 | 9.6 | 17.4 | 16.3 | | | CNNsName | VGG-F | VGG-M | VGG-S | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU |
| Dimensions | 43264 | 43264 | 86528 | 86528 | 147968 | 147968 | 100352 |
| Selection | SU(10) | SU(15) | SU(10) | SU(15) | RF(15) | SU(10) | SU(15) |
| Classifier | NB | NB | NB | RFT | NB | RFT | NB |
| Accuracy | 87.13 | 84.72 | 86.32 | 83.06 | 86.31 | 84.13 | 88.23 |
| AUC | 0.713 | 0.764 | 0.754 | 0.663 | 0.711 | 0.703 | 0.797 | | 0 |
| Model | WERSWB | WERCH | | |
| --- | --- | --- | --- | --- |
| CE | ST | CE | ST | |
| CNN | 12.6 | 10.4 | 18.4 | 17.9 |
| DNN | 11.7 | 10.3 | 18.5 | 17.0 |
| RNN | 11.5 | 9.9 | 17.7 | 16.3 | | | DNN+CNN | 11.3 | 9.6 | 17.4 | 16.3 |
| --- | --- | --- | --- | --- |
| RNN+CNN | 11.2 | 9.4 | 17.0 | 16.1 |
| DNN+RNN+CNN | 11.1 | 9.4 | 17.1 | 15.9 | | 1 |
| Model | WERSWB | WERCH | | |
| --- | --- | --- | --- | --- |
| CE | ST | CE | ST | |
| CNN | 12.6 | 10.4 | 18.4 | 17.9 |
| DNN | 11.7 | 10.3 | 18.5 | 17.0 |
| RNN | 11.5 | 9.9 | 17.7 | 16.3 | | | Dimensions | 43264 | 43264 | 86528 | 86528 | 147968 | 147968 | 100352 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Selection | SU(10) | SU(15) | SU(10) | SU(15) | RF(15) | SU(10) | SU(15) |
| Classifier | NB | NB | NB | RFT | NB | RFT | NB |
| Accuracy | 87.13 | 84.72 | 86.32 | 83.06 | 86.31 | 84.13 | 88.23 |
| AUC | 0.713 | 0.764 | 0.754 | 0.663 | 0.711 | 0.703 | 0.797 | | 0 |
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